Description

This book covers the area of product and process modelling via a case study approach. It addresses a wide range of modelling applications with emphasis on modelling methodology and the subsequent in-depth analysis of mathematical models to gain insight via structural aspects of the models. These approaches are put into the context of life cycle modelling, where multiscale and multiform modelling is increasingly prevalent in the 21st century. The book commences with a discussion of modern product and process modelling theory and practice followed by a series of case studies drawn from a variety of process industries.

The book builds on the extensive modelling experience of the authors, who have developed models for both research and industrial purposes. It complements existing books by the authors in the modelling area. Those areas include the traditional petroleum and petrochemical industries to biotechnology applications, food, polymer and human health application areas. The book highlights to important nature of modern product and process modelling in the decision making processes across the life cycle. As such it provides an important resource for students, researchers and industrial practitioners.

Ian Cameron is Professor in Chemical Engineering at the University of Queensland with teaching, research, and consulting activities in process systems engineering. He has a particular interest in process modelling, dynamic simulation, and the application of functional systems perspectives to risk management, having extensive industrial experience in these areas. He continues to work closely with industry and government on systems approaches to process and risk management issues. He received his BE from the University of New South Wales (Australia) and his PhD from imperial College London. He is a Fellow of IChemE.

Rafiqul Gani is a Professor of Systems Design at the Department of Chemical and Biochemical Engineering, Technical University of D

Key Features

  • Product and process modelling; a wide range of case studies are covered
  • Structural analysis of model systems; insights into structure and solvability
  • Analysis of future developments; potential directions and significant research and development problems to be addressed

Readership

Researchers in Process industries, practitioners in Chemical, Product and Process Engineering and academic students

Table of Contents

Contributors

Preface

Part-I

Chapter 1. Modelling: Nature and Use

1.1 Modelling Fundamentals

1.2 Model Use and Decision Making

1.3 Multiscale, Multiform Nature of Product-Process Modelling

1.4 Summary

1.5 Glossary

References

Chapter 2. Modelling Practice

2.1 Modelling Methodologies

2.2 Summary

References

Chapter 3. Computer-Aided Modelling Methods and Tools

3.1 Mathematical Models

3.2 Methods-tools for Model Representation

3.3 Model Generation

3.4 Modelling Toolbox

3.5 Summary

References

Appendix: Application of ModDev

Part-II

Chapter 4. Overview of the Case Studies

Chapter 5. Constitutive Models

5.1 Constitutive Models – Physical Properties

5.2 Property Model Parameter Estimation

5.3 Constitutive Model Applications

References

Chapter 6. Steady-State Process Modelling

6.1 Process Descriptions

6.2 Model Description

References

Chapter 7. Models for Dynamic Applications

7.1 Complex Unit Operations: Blending Tank

7.2 Complex Integrated Operations: Direct Methanol Fuel Cell

7.3 Multiscale Fluidised Bed Reactor

7.4 Dynamic Chemical Reactor

7.5 Polymerisation Reactor

References

Chapter 8. Distributed Parameter Modelling Applications

8.1 Oil Shale Pre-Heat and Cooling Unit

8.2 Modelling the Dynamic Performance of a Complex Granulation System for MAP–DAP Production

8.3 Short-Path Evaporator Model

8.4 Acknowledgements

References

Chapter 9. Tennessee Eastman Plant-wide Industrial Process Challenge Problem

9.1 Process Description

9.2 Simplified Model

9.3 Full (Process) Model

References

Chapter 10. Modelling of Batch Process Operations

10.1 Modelling of a

Details

No. of pages:
548
Language:
English
Copyright:
© 2011
Published:
Imprint:
Elsevier
Print ISBN:
9780444531612
Electronic ISBN:
9780080932316

About the authors

Ian Cameron

Ian Cameron is Professor in Chemical Engineering at the University of Queensland with teaching, research, and consulting activities in process systems engineering. He has a particular interest in process modelling, dynamic simulation, and the application of functional systems perspectives to risk management, having extensive industrial experience in these areas. He continues to work closely with industry and government on systems approaches to process and risk management issues. He received his BE from the University of New South Wales (Australia) and his PhD from imperial College London. He is a Fellow of IChemE.

Rafiqul Gani

Rafiqul Gani is a Professor of Systems Design at the Department of Chemical and Biochemical Engineering, Technical University of Denmark, and the director of the Computer Aided Product-Process Engineering Center (CAPEC). His research interests include the development of computer-aided methods and tools for modelling, property estimation and process-product synthesis and design. He received his BSc from Bangladesh University of Engineering and Technology in 1975, and his MSc in 1976 and PhD in 1980 from Imperial College London. He is the editor-in-chief of Computers and Chemical Engineering journal and Fellow of IChemE as well as AIChE.

Reviews

"This book takes the reader on an exciting journey of practical case studies. It provides an exemplary illustration of the crucial role of systematic approaches for the goal-oriented development of mathematical models of complex process systems. This is a high quality contribution from leaders in the field, a must-have book for any modeling practitioner. It fills an important gap among other well known books in the field that mainly focus on the theory and methodologies required for model development and solution…. This book serves as a highly valuable resource of complex models, for graduate students, academics and industrialists." --Chemistry World